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@ptrendx @romerojosh @apeforest @eric-haibin-lin Please help review. @mxnet-label-bot add [pr-awaiting-review] |
Great! It solves the issue #9511. |
wkcn
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Apr 16, 2019
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LGTM. Thank you!
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Any unit test?
Not sure if there is any. If not, I can add one. Let me check. |
@eric-haibin-lin Added unit test. Can you help review and merge? |
eric-haibin-lin
approved these changes
Apr 18, 2019
@mxnet-label-bot update [pr-awaiting-merge] |
marcoabreu
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Review and CI is complete. Ready to Merge
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Apr 18, 2019
Merged. Thank you! |
kedarbellare
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Apr 20, 2019
* set idx2name for optimizer * add unit test
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Apr 22, 2019
* set idx2name for optimizer * add unit test
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* set idx2name for optimizer * add unit test
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Currently when we use
module.fit()
, we can pass a str or an Optimizer object as the optimizer. When we pass an Optimizer object that is created outside before callingmodule.fit()
, we are not checking and settingoptimizer.idx2name
which is used to mask out entries in update for weight decay in module.init_optimizer method. Ifidx2name
is not set when creating the optimizer object outside, it can impact the convergence behavior as weight decay is applied to all parameters in this case.This PR checks if
idx2name
is set if an Optimizer object is given. If not, we are setting it to the proper values. Fixes #9511 as @wkcn pointed out.